sql-encoder – AI Model by MrezaPRZ | AlphaNeural AI

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MrezaPRZ/
sql-encoder

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text-classification

generated_from_trainer

deepseek-ai/deepseek-coder-1.3b-instruct

autotrain_compatible

text-generation-inference

endpoints_compatible

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encoder

This model is a fine-tuned version of deepseek-ai/deepseek-coder-1.3b-instruct on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0670
Mse: 1.0575
Rmse: 1.0283
Mae: 0.9076

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 12
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.01
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Mse	Rmse	Mae
0.0988	0.21	3000	0.0928	1.4795	1.2164	1.1099
0.0793	0.42	6000	0.0867	1.4370	1.1987	1.1076
0.0702	0.63	9000	0.0777	0.7554	0.8691	0.7701
0.0634	0.84	12000	0.0716	1.0950	1.0464	0.9449
0.0563	1.05	15000	0.0686	0.9966	0.9983	0.8899
0.0484	1.26	18000	0.0673	1.0653	1.0321	0.9161
0.0466	1.47	21000	0.0671	1.0877	1.0429	0.9219
0.0462	1.68	24000	0.0670	1.0613	1.0302	0.9090
0.046	1.89	27000	0.0670	1.0575	1.0283	0.9076

Framework versions

Transformers 4.37.2
Pytorch 2.1.0.dev20230605+cu121
Datasets 2.17.0
Tokenizers 0.15.2